Agentic AI Governance: Liability Paradox When Developer and User Interests Diverge
LuizaJarovsky · x · 2026-08-27
Luiza Jarovsky highlights a paper on Agentic AI governance by Ella Genasci Smith et al., examining the liability gap when an agent's actions harm a user due to misaligned developer interests. The text argues that the spread of non-human agency necessitates an overhaul of liability paradigms, as current legal systems fail to address these new risks. It challenges the notion that neither agents nor developers should be held responsible, advocating for evolved legal interpretations. Key recommendations include applying the duty of loyalty to agents, implementing digital agent identifiers, enacting federal privacy legislation, and establishing adverse incident reporting mechanisms.
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